Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Bayesian Reinforcement Learning via Deep, Sparse Sampling
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-015-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-015-alpha.b-cdn.net
      • sl-yoda-v3-stream-015-beta.b-cdn.net
      • 1963568160.rsc.cdn77.org
      • 1940033649.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Bayesian Reinforcement Learning via Deep, Sparse Sampling
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Bayesian Reinforcement Learning via Deep, Sparse Sampling

            Aug 26, 2020

            Speakers

            DG

            Divya Grover

            Speaker · 0 followers

            DB

            Debabrota Basu

            Speaker · 0 followers

            CD

            Christos Dimitrakakis

            Speaker · 0 followers

            Organizer

            A2
            A2

            AISTATS 2020

            Account · 106 followers

            Categories

            AI & Data Science

            Category · 10.8k presentations

            Mathematics

            Category · 2.4k presentations

            About AISTATS 2020

            http://aistats.org/aistats2020 AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Since its inception in 1985, the primary goal of AISTATS has been to broaden research in these fields by promoting the exchange of ideas among them. We encourage the submission of all papers which are in keeping with this objective at AISTATS.

            Like the format? Trust SlidesLive to capture your next event!

            Professional recording and live streaming, delivered globally.

            Sharing

            Recommended Videos

            Presentations on similar topic, category or speaker

            An Empirical Study of Large-batch Training with Structured Covariance Noise
            08:44

            An Empirical Study of Large-batch Training with Structured Covariance Noise

            Yeming Wen, …

            A2
            A2
            AISTATS 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Identifying and Correcting Label Bias in Machine Learning
            12:42

            Identifying and Correcting Label Bias in Machine Learning

            Heinrich Jiang, …

            A2
            A2
            AISTATS 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Towards Competitive N-gram Smoothing
            17:51

            Towards Competitive N-gram Smoothing

            Mesrob I. Ohannessian, …

            A2
            A2
            AISTATS 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Two-sample Testing Using Deep Learning
            13:01

            Two-sample Testing Using Deep Learning

            Matthias Kirchler, …

            A2
            A2
            AISTATS 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms
            16:02

            Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms

            Ping Ma, …

            A2
            A2
            AISTATS 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Wasserstein Style Transfer
            11:58

            Wasserstein Style Transfer

            Youssef Mroueh

            A2
            A2
            AISTATS 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Interested in talks like this? Follow AISTATS 2020